Data scientist

1 week ago

Delhi, India Arena Club Full time
About the Company If you’re fascinated by sports cards and memorabilia, your search ends here. Arena Club is pioneering the collectibles domain by introducing the first-ever digital card show. Spearheaded by 5x World Series Champion Derek Jeter and serial entrepreneur Brian Lee, Arena Club has developed a fully digital marketplace. This innovative platform is built on trust, transparency, and fun, featuring grading & authentication, vaulting, and digital pack openings for collectors to build and showcase their collections in a personalized online showroom from anywhere in the world.
About the Role
Are you ready to take your career to the next level with an exciting, fast-growing company? Arena Club is seeking a talented Data Scientist with experience in online gaming to help optimize customer engagement and increase lifetime value (LTV). You’ll focus on analyzing behavioral and purchasing data to uncover key insights, develop predictive models, and create actionable strategies to reduce churn and drive promotions that lead to higher LTV.
Responsibilities
Analyze large datasets to discover key behavioral and purchasing insights, identifying patterns that drive user retention and LTV optimization
Build predictive models to reduce customer churn, identify at-risk users early, and implement retention strategies
Collaborate with marketing teams to create data-driven campaigns that boost user activity and maximize LTV
Analyze and optimize promotions and rewards tailored to user preferences and behaviors
Track player journeys and identify patterns that correlate with long-term engagement and high-value users
Develop and maintain dashboards to monitor user behavior, campaign performance, and key KPIs
Perform cohort analysis and segmentation to better understand user behavior and lifetime value drivers
Automate data collection, reporting, and analysis processes for performance tracking and continuous improvement
Provide actionable insights to product teams to inform feature development and customer experience improvements
Collaborate with data engineers to ensure data accuracy, integration, and scalability of data pipelines
Qualifications
Experience in Online Gaming: Proven experience in the online gaming industry, analyzing customer behavior, LTV, and churn
Analytical Expertise: Strong background in data analytics, statistics, and machine learning techniques. Experience using tools like SQL, Python, R, and data visualization platforms
LTV & Churn: Experience developing and deploying predictive models that focus on LTV optimization and churn reduction strategies
Promotions & Segmentation: Expertise in designing and analyzing promotions, campaigns, and personalized offers based on data insights
Behavioral Analysis: Ability to analyze user behavior and journeys to find opportunities for retention and monetization improvements
Collaboration: Ability to work cross-functionally with marketing, product, and engineering teams to translate data insights into business strategies
Detail-Oriented: Strong attention to detail, ensuring accuracy and quality in data reporting and analysis
Communication Skills: Excellent verbal and written communication skills, with the ability to translate complex data insights into understandable takeaways for stakeholders

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